Copy Checker

Authors : Ajith A P; Ajmal Noorudheen Arakkal; Ashish Xavier; Ebin Joseph; Dr.Arun Thomas

Volume/Issue : Volume 6 - 2021, Issue 7 - July

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As technology has a great impact in our current lifestyle compared to old times, plagiarism is a phenomenon that is increasing day by day. The effect of the pandemic Covid-19 even moved into online space.. Students complete their assignments independently, at the same time another part of students either copy from others or download from the internet. In case of textual works detection process is easy and some of the system already exists.. But students mask plagiarism by changing the order, shuffling contents, changing the structure and other similar things. We are trying to find a solution for this type of problem and make it very low cost. Here we propose a system that finds the similarity between the given document images which can either be a text document or a handwritten text image, find the similarity score between them using the cosine similarity method, and determine whether the submitted documents are plagiarized or not or is it similar to the submitted text images. In this way, teachers can easily determine whether a particular text document with images has been plagiarized.. To identify the text from the image we use the OCR technique.

Keywords : Plagiarism System, Text mining, Data Mining.


Paper Submission Last Date
30 - September - 2023

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In 1-2 Days

Paper Publishing
In 2-3 Days

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